Terrence Sejnowski
Terrence Sejnowski
Francis Crick Professor, Salk Institute, Distingished Professor, UC San Diego
Bestätigte E-Mail-Adresse bei salk.edu - Startseite
Zitiert von
Zitiert von
An information-maximization approach to blind separation and blind deconvolution
AJ Bell, TJ Sejnowski
Neural computation 7 (6), 1129-1159, 1995
A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, TJ Sejnowski
Cognitive science 9 (1), 147-169, 1985
Thalamocortical oscillations in the sleeping and aroused brain
M Steriade, DA McCormick, TJ Sejnowski
Science 262 (5134), 679-685, 1993
Hierarchical mixtures of experts and the EM algorithm
MI Jordan, RA Jacobs
Neural computation 6 (2), 181-214, 1994
Running enhances neurogenesis, learning, and long-term potentiation in mice
H Van Praag, BR Christie, TJ Sejnowski, FH Gage
Proceedings of the National Academy of Sciences 96 (23), 13427-13431, 1999
The computational brain
PS Churchland, TJ Sejnowski
MIT press, 1994
Removing electroencephalographic artifacts by blind source separation
TP Jung, S Makeig, C Humphries, TW Lee, MJ Mckeown, V Iragui, ...
Psychophysiology 37 (2), 163-178, 2000
Face recognition by independent component analysis
MS Bartlett, JR Movellan, TJ Sejnowski
IEEE Transactions on neural networks 13 (6), 1450-1464, 2002
The “independent components” of natural scenes are edge filters
AJ Bell, TJ Sejnowski
Vision research 37 (23), 3327-3338, 1997
Parallel networks that learn to pronounce English text
TJ Sejnowski, CR Rosenberg
Complex systems 1 (1), 145-168, 1987
Learning machines.
NJ Nilsson
New York, 1965
Analysis of fMRI data by blind separation into independent spatial components
MJ McKeown, S Makeig, GG Brown, TP Jung, SS Kindermann, AJ Bell, ...
Human brain mapping 6 (3), 160-188, 1998
Independent component analysis of electroencephalographic data
S Makeig, AJ Bell, TP Jung, TJ Sejnowski
Advances in neural information processing systems, 145-151, 1996
Learning in graphical models
MI Jordan
Springer Science & Business Media, 1998
Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources
TW Lee, M Girolami, TJ Sejnowski
Neural computation 11 (2), 417-441, 1999
Reliability of spike timing in neocortical neurons
ZF Mainen, TJ Sejnowski
Science 268 (5216), 1503-1506, 1995
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
PR Montague, P Dayan, TJ Sejnowski
Journal of neuroscience 16 (5), 1936-1947, 1996
Learning and relearning in Boltzmann machines
GE Hinton, TJ Sejnowski
Parallel distributed processing: Explorations in the microstructure of …, 1986
Dynamic brain sources of visual evoked responses
S Makeig, M Westerfield, TP Jung, S Enghoff, J Townsend, E Courchesne, ...
Science 295 (5555), 690-694, 2002
Genome-wide detection and characterization of positive selection in human populations
PC Sabeti, P Varilly, B Fry, J Lohmueller, E Hostetter, C Cotsapas, X Xie, ...
Nature 449 (7164), 913-918, 2007
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